QuestionQ371

Building and testing applications

You are planning to run a load test for your Cloud Run service with JMeter. You need to coordinate the steps and services needed for effective load testing and analysis, following Google-recommended practices. What should you do?

  • A Install JMeter on your local machine, create a log sink to BigQuery, and use Looker to analyze the results.
  • B Set up a Compute Engine instance, install JMeter on the instance, create a log sink to a Cloud Storage bucket, and use Looker Studio to analyze the results.
  • C Set up a Compute Engine instance, install JMeter on the instance, create a log sink to a Cloud Storage bucket, and use Looker to analyze the results.
  • D Set up a Compute Engine instance, install JMeter on the instance, create a log sink to BigQuery, and use Looker Studio to analyze the results.
Explanation

A Compute Engine VM provides a suitable environment for the JMeter test harness. Cloud Run guidance recommends exporting logs to BigQuery for detailed load-test analysis, and Looker Studio can connect to BigQuery to create visualizations and reports.

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